BMW Hackathon

OPENS AT: Nov 14, 12:30 PM

CLOSES AT: Dec 19, 01:25 PM

DURATION: 35 days 55m

BMW Hackathon 2022

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The Hackathon 2022 for Industrial Object Detection Challenge invites brilliant minds passionate about artificial intelligence (AI) and machine learning (ML) to tackle real AI-based computer vision (CV) challenges and help build object detection and recognition solutions based on BMW Group’s largest synthetic object dataset for industries.

In today's world, ML and CV have gained unprecedented interest, with extensive research in academia and increasing implementation in industry. Object detection, a subset of CV, provides computers with the ability to perceive the word visually, and mimics human vision to detect and identify salient objects in an image or a video. One major challenge is the need to train and deploy different object detection models for specific industrial use cases. This in turn requires a significant amount of high-quality training data which is oftentimes unavailable, especially in industrial domains due to confidentiality, scene setup, and many more considerations. To overcome this issue, BMW Group, in collaboration with its partners NVIDIA, Microsoft, Idealworks,, and many prestigious universities from around the globe, created SORDI (i.e., Synthetic Object Recognition Dataset for Industries): the largest and most extensive collection of synthetic visual industrial assets (e.g., pallets, boxes, cardboard, bolts, etc.). SORDI can be used to enhance CV tasks in digital-twin environments (e.g., a simulated factory floor) as well as their real-world counterparts.

This contest aims at utilizing and popularizing the SORDI dataset for industrial object detection and recognition. Your task in this hackathon is to train object detection models based on subsets from SORDI to achieve top accuracy levels for real-world BMW use cases.

Challenge yourself, put your machine learning and computer vision skills to the test, try out new things, and learn in the process!




Important Dates

Registration starts: October 24th, 2022 

Start of Stage 1: November 14th, 2022 --- End of Stage 1: December 19th, 2022 (Extended)

Qualifiers announcements: December 26th, 2022 (Extended)

Start of Stage 2: January 16th, 2023 --- End of Stage 2: February 13th, 2023

Winners’ announcements: March 6th, 2023